Data processing system, system-build system, and system-build method
First Claim
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1. A data processing system comprising:
- a plurality of data processing units coupled together to form a first layered neural network, the data processing units generating output signals by modifying an input signal according to parameters associated with each of the data processing units and transmitting the output signal in an upstream direction through the layered network, the data processing units transmitting error signals in a downstream direction through the layered network, each said data processing unit further includingmodification means for modifying said parameters of the data processing unit based on the received error signal, the received error signals being based on a difference between a final output signal of the network and a desired output signal, andat least one of the data processing units further comprisinga second plurality of data processing units coupled together to form a second layered neural network, wherein the first and second layered networks form a hierarchy of networks in which the second layered network is subordinate to the first layered network, and wherein the first and second layered networks each further include a unit control means for controlling an operating sequence of data processing units within each layered network.
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Abstract
Each of a plurality of units 2 has the learning section 9 which updates the parameters PRM and performs learning. The learning means 9 modifies the parameters PRM based on the error signal OS'"'"' propagated from one unit to another. To build a system consisting of such units 2, the user uses the GUI or some other method to select the units 2 as well as the signal paths for connecting the units via the user interface, displays the system configuration status, and adjusts the functions of units 2. Therefore, an easy-to-build data processing system and a system-build system and method used to build such a system can be provided.
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3 Claims
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1. A data processing system comprising:
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a plurality of data processing units coupled together to form a first layered neural network, the data processing units generating output signals by modifying an input signal according to parameters associated with each of the data processing units and transmitting the output signal in an upstream direction through the layered network, the data processing units transmitting error signals in a downstream direction through the layered network, each said data processing unit further including modification means for modifying said parameters of the data processing unit based on the received error signal, the received error signals being based on a difference between a final output signal of the network and a desired output signal, and at least one of the data processing units further comprising a second plurality of data processing units coupled together to form a second layered neural network, wherein the first and second layered networks form a hierarchy of networks in which the second layered network is subordinate to the first layered network, and wherein the first and second layered networks each further include a unit control means for controlling an operating sequence of data processing units within each layered network. - View Dependent Claims (2, 3)
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Specification